DATA
Dr. Yue Qian has used a variety of individual- and aggregate-level data in her research. Click on the links of your choice to access these data tools and resources. Her respective papers are also listed for reference.
U.S. Data
- The U.S. Censuses & The American Community Surveys from the Integrated Public Use Microdata Series (IPUMS) [Han & Qian 2022; 2021; Fan & Qian 2017; Qian 2017a; Yavorsky, Cohen, & Qian 2016]
- American Time Use Survey [Qian & Sayer 2022; Qian & Fan 2019]
- Current Population Survey [Qian & Hu 2021; Qian & Qian 2020; Qian & Fan 2019]
- National Health Interview Survey [Fan & Qian 2019; 2017]
- National Longitudinal Survey of Youth 1979 [Qian & Yavorsky 2021; Qian 2018; 2017b]
- National Longitudinal Survey of Youth 1997 [Qian & Fan 2021]
- Educational Longitudinal Study of 2002 [Qian, Buchmann, & Zhang 2018]
- Survey of Consumer Finances [Yavorsky et al. 2020; 2019]
- Data on income, jobs, and wages from the Economic Policy Institute [Qian 2017a]
- Understanding Coronavirus in America [Lee, Qian, & Wu, 2022; Wu, Qian, & Wilkes 2021]
- The Digest of Education Statistics [Qian & Fan 2021; Qian 2017a]
- The O*NET database [Fan & Qian 2017]
China Data
- Chinese General Social Surveys [Qian & Li 2020; Hu & Qian 2019; Fan & Qian 2015; Qian & Knoester 2015; Qian & Qian 2015; 2014]
- Fudan Yangtze River Delta Social Transformation Survey (复旦大学长三角地区社会变迁调查) [Qian, Cheng, & Qian 2020; Qian & Qian 2017]
- China Household Finance Survey [Li & Qian 2018]
- China Family Panel Studies [Hu & Qian 2019]
- Statistical databases from the National Bureau of Statistics of China [Hu & Qian 2019]
- Aggregate data from the China Data Center at the University of Michigan [Fan & Qian 2015]
Canadian Data
Cross-National Data
- East Asian Social Survey: A biennial social survey project that collects comparative, nationally representative data in four East Asian societies (Mainland China, Japan, Korea, and Taiwan) [Fan & Qian 2022; Qian & Sayer 2016]
- Data about development in countries around the globe from the World Bank [Qian & Sayer 2016]
- Population datasets from the United Nations Population Division, in particular World Marriage Data and World Fertility Data [Qian & Sayer 2016]
CODES
This page contains documentation and STATA do and log files to replicate the analyses for Dr. Yue Qian's select publications.
Qian, Yue and Zhenchao Qian. (2014). “Gender Divide in Urban China: Singlehood and Assortative Mating by Age and Education.” Demographic Research, 31, 1337-1364.
Fan, Wen and Yue Qian. (2015). “Long-Term Health and Socioeconomic Consequences of Early-Life Exposure to the 1959-61 Chinese Famine.” Social Science Research, 49, 53-69.
Yavorsky, Jill E., Lisa A. Keister, Yue Qian, and Michael Nau. (2019). "Women in the One Percent: Gender Dynamics in Top Income Positions." American Sociological Review, 84(1), 54-81.
Hu, Yang and Yue Qian. (2019). "Educational and Age Assortative Mating in China: The Importance of Marriage Order." Demographic Research, 41, 53-82. (Two authors contributed equally to the work)
Lee, Rennie, Yue Qian, and Cary Wu. (2022). “Coethnic Concentration and Asians’ Perceived Discrimination Across US Counties During COVID-19.” Socius: Sociological Research for a Dynamic World, 8. (Three authors contributed equally to the work)
Qian, Yue and Liana C. Sayer. (2022). “Gender and Educational Variation in How Temporal Dimensions of Paid Work Affect Parental Child Care Time.” Socius: Sociological Research for a Dynamic World.
Hu, Yang and Yue Qian. (2023). “Gender, Education Expansion and Intergenerational Educational Mobility Around the World.” Nature Human Behaviour.
- Please see the documentation first.
- Click here to download shared files.
Fan, Wen and Yue Qian. (2015). “Long-Term Health and Socioeconomic Consequences of Early-Life Exposure to the 1959-61 Chinese Famine.” Social Science Research, 49, 53-69.
Yavorsky, Jill E., Lisa A. Keister, Yue Qian, and Michael Nau. (2019). "Women in the One Percent: Gender Dynamics in Top Income Positions." American Sociological Review, 84(1), 54-81.
- We conducted analyses using Stata 14. Coding syntax and data used for analyses can be found here.
Hu, Yang and Yue Qian. (2019). "Educational and Age Assortative Mating in China: The Importance of Marriage Order." Demographic Research, 41, 53-82. (Two authors contributed equally to the work)
- We conducted analyses using Stata 14. Coding syntax used for analyses can be found here.
Lee, Rennie, Yue Qian, and Cary Wu. (2022). “Coethnic Concentration and Asians’ Perceived Discrimination Across US Counties During COVID-19.” Socius: Sociological Research for a Dynamic World, 8. (Three authors contributed equally to the work)
- We conducted analyses using Stata 16.1. Log file can be found here.
Qian, Yue and Liana C. Sayer. (2022). “Gender and Educational Variation in How Temporal Dimensions of Paid Work Affect Parental Child Care Time.” Socius: Sociological Research for a Dynamic World.
- Data and code for this article are available here.
Hu, Yang and Yue Qian. (2023). “Gender, Education Expansion and Intergenerational Educational Mobility Around the World.” Nature Human Behaviour.
- The codes for data cleaning, harmonization, analysis and production of all graphs and tables reported in the main article and Supplementary Information are publicly available through the Open Science Framework.
- The feedback from reviewers and editors, as well as our responses, can be seen from the Transparent Peer Review.
